Mark S. Stoll

2.7k citations
46 papers · 2.2k indexed · h-index 28

Impact in

Papers in

Mark S. Stoll

46 papers receiving 2.1k citations

Peers

Mark S. Stoll
Comparison fields: 5 of 102
  • Immunology and Allergy 296
  • Organic Chemistry 763
  • Immunology 512
  • Cell Biology 385
  • Molecular Biology 1.6k
Replace Anthony H. Merry with:
Anthony H. Merry United Kingdom
Carolien A. M. Koeleman Netherlands
Franca Serafini‐Cessi Italy
Elwira Lisowska Poland
J E Oates United Kingdom
A. Tulp Netherlands
Myron A. Leon United States
Catherine M. Radcliffe United Kingdom
Jari Helin Finland
Baoyun Xia United States
Mark S. Stoll relative to Anthony H. Merry United Kingdom Anthony H. Merry's profile →
Citations per field
00.5×5.5×
Anthony H. Merry · 1×
Citations per year

Countries citing papers authored by Mark S. Stoll

Since Specialization
Citations

This map shows the geographic impact of Mark S. Stoll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark S. Stoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Stoll more than expected).

Fields of papers citing papers by Mark S. Stoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Stoll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark S. Stoll. The network helps show where Mark S. Stoll may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mark S. Stoll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark S. Stoll Line = papers co-authored together Mark S. Stoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201159
2 2005290
3 20031
4 200346
5 200231
6 200036
7 199934
8 199472
9 199330
10 199318
11 1992200
12 19919
13 199110
14 199138
15 199129
16 199045
17 198940
18 198720
19 198433
20 198233

About Mark S. Stoll

Mark S. Stoll is a scholar working on Immunology and Allergy, Molecular Biology, Organic Chemistry, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (27 papers), Carbohydrate Chemistry and Synthesis (14 papers), Heme Oxygenase-1 and Carbon Monoxide (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Neonatal Health and Biochemistry (6 papers), Cell Adhesion Molecules Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Immunology and Allergy (296 citations), Organic Chemistry (763 citations), Immunology (512 citations), Cell Biology (385 citations) and Molecular Biology (1.6k citations). Mark S. Stoll has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Ten Feizi, Wengang Chai, Alexander Lawson, Elizabeth F. Hounsell, Robert A. Childs, C-T. Yuen, A. M. Lawson, Angelina S. Palma, María Asunción Campanero‐Rhodes and Margot Larkin. Their work appears in journals such as Biochemical Journal, European Journal of Biochemistry, Carbohydrate Research, Journal of Biological Chemistry and Journal of Mass Spectrometry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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